Data Fabric isn’t just a single product, it’s a composable architecture. Its power lies in how it stitches together a variety of technologies to support real-time, intelligent, and adaptable workflows.
Below are the primary components and considerations:
- Data Integration Layers: Seamless access to structured, unstructured, and semi-structured data across databases, APIs, file systems, and streaming platforms.
- Event-Driven Architecture: Workflows can be triggered by real-time events, not just static schedules or manual inputs.
- Orchestration Engines: These coordinate multi-step processes across diverse systems and services, ensuring that the right actions happen in the right order.
- AI/ML Services: Embedded intelligence to enable decision-making, recommendations, anomaly detection, and even fully autonomous workflows.
- Metadata and Observability Layers: Provide visibility into workflow behavior, dependencies, and performance, and enable dynamic governance.
These components must be loosely coupled but deeply integrated, enabling adaptability without locking you into a monolithic stack. Think of them as the organs, muscles, and nerves of your operational body—coordinated through a central brain that understands both context and intent.
Together, they create a fabric where data and actions flow freely and intelligently all supporting digital transformation at scale.
